Explore the words cloud of the Cloud-LSVA project. It provides you a very rough idea of what is the project "Cloud-LSVA" about.
The following table provides information about the project.
Coordinator |
FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://cloud-lsva.eu |
Total cost | 4˙604˙431 € |
EC max contribution | 4˙604˙431 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2015 |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2018-12-31 |
Take a look of project's partnership.
Cloud-LSVA will create Big Data Technologies to address the open problem of a lack of software tools, and hardware platforms, to annotate petabyte scale video datasets. The problem is of particular importance to the automotive industry. CMOS Image Sensors for Vehicles are the primary area of innovation for camera manufactures at present. They are the sensor that offers the most functionality for the price in a cost sensitive industry. By 2020 the typical mid-range car will have 10 cameras, be connected, and generate 10TB per day, without considering other sensors. Customer demand is for Advanced Driver Assistance Systems (ADAS) which are a step on the path to Autonomous Vehicles. The European automotive industry is the world leader and dominant in the market for ADAS. The technologies depend upon the analysis of video and other vehicle sensor data. Annotations of road traffic objects, events and scenes are critical for training and testing computer vision techniques that are the heart of modern ADAS and Navigation systems. Thus, building ADAS algorithms using machine learning techniques require annotated data sets. Human annotation is an expensive and error-prone task that has only been tackled on small scale to date. Currently no commercial tool exists that addresses the need for semi-automated annotation or that leverages the elasticity of Cloud computing in order to reduce the cost of the task. Providing this capability will establish a sustainable basis to drive forward automotive Big Data Technologies. Furthermore, the computer is set to become the central hub of a connected car and this provides the opportunity to investigate how these Big Data Technologies can be scaled to perform lightweight analysis on board, with results sent back to a Cloud Crowdsourcing platform, further reducing the complexity of the challenge faced by the Industry. Car manufacturers can then in turn cyclically update the ADAS and Mapping software on the vehicle benefiting the consumer.
Import/export interfaces and Annotation data model and storage | Demonstrators, pilots, prototypes | 2020-01-28 10:05:59 |
Ontology construction and Semantic search API | Documents, reports | 2020-01-28 10:05:59 |
Standardisation plan, liaison with open standard organisation and TESTFEST report | Documents, reports | 2020-01-28 10:05:59 |
Final requirements, specifications and reference architecture | Documents, reports | 2020-01-28 10:05:59 |
Final report on data legal requirements and implemented data protection approaches | Documents, reports | 2020-01-28 10:05:59 |
Final report on scientific and industrial dissemination activities | Documents, reports | 2020-01-28 10:05:59 |
Report on integration, validation and user trials | Documents, reports | 2020-01-28 10:05:59 |
Cloud-LSVA workshop requirements and final evaluation | Documents, reports | 2020-01-28 10:05:59 |
Report on data legal requirements and implemented data protection approaches | Documents, reports | 2020-01-28 10:05:58 |
Report on scientific and industrial dissemination activities | Documents, reports | 2020-01-28 10:05:58 |
Network and cloud infrastructure optimisation and performance report | Documents, reports | 2020-01-28 10:05:59 |
Project dissemination materials | Websites, patent fillings, videos etc. | 2020-01-28 10:05:58 |
Import/export interfaces and Annotation data model and storage specification | Documents, reports | 2020-01-28 10:05:58 |
Initial requirements, specifications and reference architecture | Documents, reports | 2020-01-28 10:05:58 |
Initial standardisation plan | Documents, reports | 2020-01-28 10:05:58 |
Analysis of strategic communication priorities and dissemination plan | Documents, reports | 2020-01-28 10:05:58 |
Take a look to the deliverables list in detail: detailed list of Cloud-LSVA deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Barry Sheehan, Finbarr Murphy, Martin Mullins, Cian Ryan Connected and autonomous vehicles: A cyber-risk classification framework published pages: , ISSN: 0965-8564, DOI: 10.1016/j.tra.2018.06.033 |
Transportation Research Part A: Policy and Practice | 2020-01-28 |
2018 |
Panagiotis Meletis, Gijs Dubbelman Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation published pages: , ISSN: , DOI: |
arxiv.org | 2020-01-28 |
2018 |
Martin Simon, Stefan Milz, Karl Amende, Horst-Michael Gross complex-yolo: real-time 3d object detection on point clouds published pages: , ISSN: , DOI: |
arxiv.org | 2020-01-28 |
2019 |
de Geus, Daan, Panagiotis Meletis, and Gijs Dubbelman Panoptic segmentation with a joint semantic and instance segmentation network published pages: , ISSN: , DOI: |
arXiv.org | 2020-01-28 |
2018 |
Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation published pages: , ISSN: , DOI: |
arxiv.org | 2020-01-28 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CLOUD-LSVA" project.
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The information about "CLOUD-LSVA" are provided by the European Opendata Portal: CORDIS opendata.
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